Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese

In numerous real-life applications, nature-inspired population-based search algorithms have been applied to solve numerical optimization problems. This paper focuses on a simple and powerful swarm optimizer, named Wild Geese Algorithm (WGA), for large-scale global optimization whose efficiency and performance are verified using large-scale test functions of IEEE CEC 2008 and CEC 2010 special sessions with high dimensions D ​= ​100, 500, 1000. …